Triple
T1528742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adrianne Palicki |
E32392
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object |
Lady Jaye
Lady Jaye is a covert operations and intelligence specialist from the G.I. Joe franchise, known for her tactical expertise, multilingual skills, and signature javelin weapons.
|
E173445
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lady Jaye | Statement: [Adrianne Palicki, playedCharacter, Lady Jaye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady Jaye Context triple: [Adrianne Palicki, playedCharacter, Lady Jaye]
-
A.
Wilma the Wildcat
Wilma the Wildcat is one of the costumed feline mascots of the University of Arizona, known for appearing alongside Wilbur Wildcat at athletic events and school functions.
-
B.
Felicity
Felicity is an American television drama series that follows a young woman's personal and academic journey through college life in New York City.
-
C.
Misti
Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
-
D.
Gracie
Gracie is a given name, often used as a diminutive of Grace.
-
E.
Marylou
Marylou is a free-spirited, impulsive young woman who embodies the restless, hedonistic energy of the Beat Generation in Jack Kerouac’s novel "On the Road."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lady Jaye Triple: [Adrianne Palicki, playedCharacter, Lady Jaye]
Generated description
Lady Jaye is a covert operations and intelligence specialist from the G.I. Joe franchise, known for her tactical expertise, multilingual skills, and signature javelin weapons.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lady Jaye Target entity description: Lady Jaye is a covert operations and intelligence specialist from the G.I. Joe franchise, known for her tactical expertise, multilingual skills, and signature javelin weapons.
-
A.
Wilma the Wildcat
Wilma the Wildcat is one of the costumed feline mascots of the University of Arizona, known for appearing alongside Wilbur Wildcat at athletic events and school functions.
-
B.
Felicity
Felicity is an American television drama series that follows a young woman's personal and academic journey through college life in New York City.
-
C.
Misti
Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
-
D.
Gracie
Gracie is a given name, often used as a diminutive of Grace.
-
E.
Marylou
Marylou is a free-spirited, impulsive young woman who embodies the restless, hedonistic energy of the Beat Generation in Jack Kerouac’s novel "On the Road."
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb1dfd1a48190804ca5f0fb6f5985 |
completed | March 7, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2955dc788190988ebf911714437b |
completed | March 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ad2a18a79c81908f04ba9aa55d52a0 |
completed | March 8, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad2a8deae8819095731fdd1b4bd310 |
completed | March 8, 2026, 7:51 a.m. |
Created at: March 4, 2026, 7:26 p.m.